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<a href="block__reduce_8cuh.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2011, Duane Merrill.  All rights reserved.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2011-2013, NVIDIA CORPORATION.  All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * </span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * modification, are permitted provided that the following conditions are met:</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright</span></div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       notice, this list of conditions and the following disclaimer in the</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *       documentation and/or other materials provided with the distribution.</span></div>
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<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS</span></div>
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<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="comment"> ******************************************************************************/</span></div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor"></span></div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="preprocessor">#include &quot;specializations/block_reduce_raking.cuh&quot;</span></div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;specializations/block_reduce_warp_reductions.cuh&quot;</span></div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;../util_type.cuh&quot;</span></div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;../thread/thread_operators.cuh&quot;</span></div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;../util_namespace.cuh&quot;</span></div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;CUB_NS_PREFIX</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="keyword">namespace </span>cub {</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="comment"> * Algorithmic variants</span></div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="comment"> ******************************************************************************/</span></div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div>
<div class="line"><a name="l00058"></a><span class="lineno"><a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10a">   58</a></span>&#160;<span class="keyword">enum</span> <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10a">BlockReduceAlgorithm</a></div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;{</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aab32651e17a8a42207e74b7ed8d1aa4d2">   81</a></span>&#160;    <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aab32651e17a8a42207e74b7ed8d1aa4d2">BLOCK_REDUCE_RAKING</a>,</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno"><a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aa993903176f938273fa1ff5d4daa808e5">  106</a></span>&#160;    <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aa993903176f938273fa1ff5d4daa808e5">BLOCK_REDUCE_WARP_REDUCTIONS</a>,</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;};</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;<span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;<span class="comment"> * Block reduce</span></div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;<span class="comment"> ******************************************************************************/</span></div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;<span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="keyword">typename</span>                T,</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <span class="keywordtype">int</span>                     BLOCK_THREADS,</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10a">BlockReduceAlgorithm</a>    ALGORITHM = <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aab32651e17a8a42207e74b7ed8d1aa4d2">BLOCK_REDUCE_RAKING</a>&gt;</div>
<div class="line"><a name="l00172"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html">  172</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcub_1_1_block_reduce.html" title="The BlockReduce class provides collective methods for computing a parallel reduction of items partiti...">BlockReduce</a></div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;{</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;<span class="keyword">private</span>:</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="comment">     * Constants and typedefs</span></div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcub_1_1_if.html" title="Type selection (IF ? ThenType : ElseType) ">If</a>&lt;(ALGORITHM == <a class="code" href="namespacecub.html#add0251c713859b8974806079e498d10aa993903176f938273fa1ff5d4daa808e5">BLOCK_REDUCE_WARP_REDUCTIONS</a>),</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        BlockReduceWarpReductions&lt;T, BLOCK_THREADS&gt;,</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        BlockReduceRaking&lt;T, BLOCK_THREADS&gt; &gt;::Type InternalBlockReduce;</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <span class="keyword">typedef</span> <span class="keyword">typename</span> InternalBlockReduce::TempStorage _TempStorage;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;<span class="comment">     * Utility methods</span></div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    __device__ __forceinline__ _TempStorage&amp; PrivateStorage()</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    {</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        __shared__ _TempStorage private_storage;</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        <span class="keywordflow">return</span> private_storage;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    }</div>
<div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="comment">/******************************************************************************</span></div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<span class="comment">     * Thread fields</span></div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;<span class="comment">     ******************************************************************************/</span></div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;    _TempStorage &amp;temp_storage;</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    <span class="keywordtype">int</span> linear_tid;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;<span class="keyword">public</span>:</div>
<div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;</div>
<div class="line"><a name="l00215"></a><span class="lineno"><a class="code" href="structcub_1_1_block_reduce_1_1_temp_storage.html">  215</a></span>&#160;    <span class="keyword">struct </span><a class="code" href="structcub_1_1_block_reduce_1_1_temp_storage.html" title="The operations exposed by BlockReduce require a temporary memory allocation of this nested type for t...">TempStorage</a> : <a class="code" href="structcub_1_1_uninitialized.html" title="A storage-backing wrapper that allows types with non-trivial constructors to be aliased in unions...">Uninitialized</a>&lt;_TempStorage&gt; {};</div>
<div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;</div>
<div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;</div>
<div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    <span class="comment">/******************************************************************/</span></div>
<div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div>
<div class="line"><a name="l00226"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a3d1fab4feec5bcca9c058c98dcc2e169">  226</a></span>&#160;    __device__ __forceinline__ <a class="code" href="classcub_1_1_block_reduce.html#a3d1fab4feec5bcca9c058c98dcc2e169" title="Collective constructor for 1D thread blocks using a private static allocation of shared memory as tem...">BlockReduce</a>()</div>
<div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    :</div>
<div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        temp_storage(PrivateStorage()),</div>
<div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        linear_tid(threadIdx.x)</div>
<div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    {}</div>
<div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;</div>
<div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;</div>
<div class="line"><a name="l00236"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a9687391e0384a76271c9b25410f5d377">  236</a></span>&#160;    __device__ __forceinline__ <a class="code" href="classcub_1_1_block_reduce.html#a9687391e0384a76271c9b25410f5d377" title="Collective constructor for 1D thread blocks using the specified memory allocation as temporary storag...">BlockReduce</a>(</div>
<div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;        <a class="code" href="structcub_1_1_block_reduce_1_1_temp_storage.html" title="The operations exposed by BlockReduce require a temporary memory allocation of this nested type for t...">TempStorage</a> &amp;temp_storage)             </div>
<div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    :</div>
<div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        temp_storage(temp_storage.Alias()),</div>
<div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        linear_tid(threadIdx.x)</div>
<div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    {}</div>
<div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;</div>
<div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div>
<div class="line"><a name="l00247"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a126757e3d17a046190ed6e4383d8f615">  247</a></span>&#160;    __device__ __forceinline__ <a class="code" href="classcub_1_1_block_reduce.html#a126757e3d17a046190ed6e4383d8f615" title="Collective constructor using a private static allocation of shared memory as temporary storage...">BlockReduce</a>(</div>
<div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <span class="keywordtype">int</span> linear_tid)                        </div>
<div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    :</div>
<div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        temp_storage(PrivateStorage()),</div>
<div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        linear_tid(linear_tid)</div>
<div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    {}</div>
<div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;</div>
<div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;</div>
<div class="line"><a name="l00258"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a1def8cd84b121828acbdf41a307efa46">  258</a></span>&#160;    __device__ __forceinline__ <a class="code" href="classcub_1_1_block_reduce.html#a1def8cd84b121828acbdf41a307efa46" title="Collective constructor using the specified memory allocation as temporary storage. Each thread is identified using the supplied linear thread identifier. ">BlockReduce</a>(</div>
<div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;        <a class="code" href="structcub_1_1_block_reduce_1_1_temp_storage.html" title="The operations exposed by BlockReduce require a temporary memory allocation of this nested type for t...">TempStorage</a> &amp;temp_storage,             </div>
<div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        <span class="keywordtype">int</span> linear_tid)                        </div>
<div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    :</div>
<div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        temp_storage(temp_storage.Alias()),</div>
<div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;        linear_tid(linear_tid)</div>
<div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    {}</div>
<div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;</div>
<div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;</div>
<div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;</div>
<div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;    <span class="comment">/******************************************************************/</span></div>
<div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;</div>
<div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;</div>
<div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ReductionOp&gt;</div>
<div class="line"><a name="l00310"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a77dac72eafb56f394762b8d3b937de79">  310</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#a77dac72eafb56f394762b8d3b937de79" title="Computes a block-wide reduction for thread0 using the specified binary reduction functor. Each thread contributes one input element. ">Reduce</a>(</div>
<div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        T               input,                      </div>
<div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        ReductionOp     reduction_op)               </div>
<div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    {</div>
<div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;        <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template Reduce&lt;true&gt;(input, BLOCK_THREADS, reduction_op);</div>
<div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    }</div>
<div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;</div>
<div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div>
<div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    <span class="keyword">template</span> &lt;</div>
<div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;        <span class="keywordtype">int</span> ITEMS_PER_THREAD,</div>
<div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;        <span class="keyword">typename</span> ReductionOp&gt;</div>
<div class="line"><a name="l00359"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a40ea5f85fa38ac1ac9ec98db9b085ed0">  359</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#a40ea5f85fa38ac1ac9ec98db9b085ed0" title="Computes a block-wide reduction for thread0 using the specified binary reduction functor. Each thread contributes an array of consecutive input elements. ">Reduce</a>(</div>
<div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        T               (&amp;inputs)[ITEMS_PER_THREAD],    </div>
<div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;        ReductionOp     reduction_op)                   </div>
<div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    {</div>
<div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        <span class="comment">// Reduce partials</span></div>
<div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        T partial = <a class="code" href="group___thread_module.html#ga48320d1f549b7931ae1f72040f9e42dc" title="Perform a sequential reduction over LENGTH elements of the input array, seeded with the specified pre...">ThreadReduce</a>(inputs, reduction_op);</div>
<div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classcub_1_1_block_reduce.html#a77dac72eafb56f394762b8d3b937de79" title="Computes a block-wide reduction for thread0 using the specified binary reduction functor. Each thread contributes one input element. ">Reduce</a>(partial, reduction_op);</div>
<div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    }</div>
<div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;</div>
<div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;</div>
<div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;    <span class="keyword">template</span> &lt;<span class="keyword">typename</span> ReductionOp&gt;</div>
<div class="line"><a name="l00406"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a0c9d086cb37f41a74d1a4c02fae741c4">  406</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#a0c9d086cb37f41a74d1a4c02fae741c4" title="Computes a block-wide reduction for thread0 using the specified binary reduction functor. The first num_valid threads each contribute one input element. ">Reduce</a>(</div>
<div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;        T                   input,                  </div>
<div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;        ReductionOp         reduction_op,           </div>
<div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;        <span class="keywordtype">int</span>                 num_valid)              </div>
<div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    {</div>
<div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;        <span class="comment">// Determine if we scan skip bounds checking</span></div>
<div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;        <span class="keywordflow">if</span> (num_valid &gt;= BLOCK_THREADS)</div>
<div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;        {</div>
<div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;            <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template Reduce&lt;true&gt;(input, num_valid, reduction_op);</div>
<div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;        }</div>
<div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;        <span class="keywordflow">else</span></div>
<div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;        {</div>
<div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;            <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template Reduce&lt;false&gt;(input, num_valid, reduction_op);</div>
<div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        }</div>
<div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    }</div>
<div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;</div>
<div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;</div>
<div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;    <span class="comment">/******************************************************************/</span></div>
<div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;</div>
<div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;</div>
<div class="line"><a name="l00461"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a7565f00c47dc7dfb286668bea15dad05">  461</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#a7565f00c47dc7dfb286668bea15dad05" title="Computes a block-wide reduction for thread0 using addition (+) as the reduction operator. Each thread contributes one input element. ">Sum</a>(</div>
<div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;        T   input)                      </div>
<div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;    {</div>
<div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;        <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template <a class="code" href="structcub_1_1_sum.html" title="Default sum functor. ">Sum&lt;true&gt;</a>(input, BLOCK_THREADS);</div>
<div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;    }</div>
<div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;</div>
<div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;    <span class="keyword">template</span> &lt;<span class="keywordtype">int</span> ITEMS_PER_THREAD&gt;</div>
<div class="line"><a name="l00501"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#a2611610d09bb8daca91e414a77c1e937">  501</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#a2611610d09bb8daca91e414a77c1e937" title="Computes a block-wide reduction for thread0 using addition (+) as the reduction operator. Each thread contributes an array of consecutive input elements. ">Sum</a>(</div>
<div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;        T   (&amp;inputs)[ITEMS_PER_THREAD])    </div>
<div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;    {</div>
<div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;        <span class="comment">// Reduce partials</span></div>
<div class="line"><a name="l00505"></a><span class="lineno">  505</span>&#160;        T partial = <a class="code" href="group___thread_module.html#ga48320d1f549b7931ae1f72040f9e42dc" title="Perform a sequential reduction over LENGTH elements of the input array, seeded with the specified pre...">ThreadReduce</a>(inputs, <a class="code" href="structcub_1_1_sum.html" title="Default sum functor. ">cub::Sum</a>());</div>
<div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classcub_1_1_block_reduce.html#a7565f00c47dc7dfb286668bea15dad05" title="Computes a block-wide reduction for thread0 using addition (+) as the reduction operator. Each thread contributes one input element. ">Sum</a>(partial);</div>
<div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    }</div>
<div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;</div>
<div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;</div>
<div class="line"><a name="l00542"></a><span class="lineno"><a class="code" href="classcub_1_1_block_reduce.html#aa52adf836e96dee812f456283cac13f7">  542</a></span>&#160;    __device__ __forceinline__ T <a class="code" href="classcub_1_1_block_reduce.html#aa52adf836e96dee812f456283cac13f7" title="Computes a block-wide reduction for thread0 using addition (+) as the reduction operator. The first num_valid threads each contribute one input element. ">Sum</a>(</div>
<div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;        T   input,                  </div>
<div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;        <span class="keywordtype">int</span> num_valid)              </div>
<div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;    {</div>
<div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;        <span class="comment">// Determine if we scan skip bounds checking</span></div>
<div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;        <span class="keywordflow">if</span> (num_valid &gt;= BLOCK_THREADS)</div>
<div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;        {</div>
<div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;            <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template <a class="code" href="structcub_1_1_sum.html" title="Default sum functor. ">Sum&lt;true&gt;</a>(input, num_valid);</div>
<div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;        }</div>
<div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;        <span class="keywordflow">else</span></div>
<div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;        {</div>
<div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;            <span class="keywordflow">return</span> InternalBlockReduce(temp_storage, linear_tid).template <a class="code" href="structcub_1_1_sum.html" title="Default sum functor. ">Sum&lt;false&gt;</a>(input, num_valid);</div>
<div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;        }</div>
<div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    }</div>
<div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;</div>
<div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;</div>
<div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;};</div>
<div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;</div>
<div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;}               <span class="comment">// CUB namespace</span></div>
<div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;CUB_NS_POSTFIX  <span class="comment">// Optional outer namespace(s)</span></div>
<div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;</div>
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